Spencerai's Stars
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
NLP-LOVE/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
cleanlab/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
wangzhiwubigdata/God-Of-BigData
专注大数据学习面试,大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...
fengdu78/Data-Science-Notes
数据科学的笔记以及资料搜集
shidenggui/easytrader
提供同花顺客户端/国金/华泰客户端/雪球的基金、股票自动程序化交易以及自动打新,支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件
lyhue1991/eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
datawhalechina/joyful-pandas
pandas中文教程
zpoint/CPython-Internals
Dive into CPython internals, trying to illustrate every detail of CPython implementation
km1994/nlp_paper_study
该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记
nosuggest/Reflection_Summary
算法理论基础知识应知应会
water8394/BigData-Interview
:dart: :star2:[大数据面试题]分享自己在网络上收集的大数据相关的面试题以及自己的答案总结.目前包含Hadoop/Hive/Spark/Flink/Hbase/Kafka/Zookeeper框架的面试题知识总结
nschloe/awesome-scientific-computing
:sunglasses: Curated list of awesome software for numerical analysis and scientific computing
THUMNLab/AutoGL
An autoML framework & toolkit for machine learning on graphs.
Separius/awesome-fast-attention
list of efficient attention modules
flaggo/python3-source-code-analysis
《Python 3 源码剖析》
LYuhang/GNN_Review
GNN综述阅读报告
wbbhcb/stock_market
aalansehaiyang/risk-talk
风控、实时计算、技术框架、架构方案、Groovy规则引擎、规则决策
PacktPublishing/Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
blobcity/python-for-data-science
A collection of Jupyter Notebooks for learning Python for Data Science.
graphsignal/graphsignal-python
Graphsignal Tracer for Python
hecongqing/CCKS2019_EventEntityExtraction_Rank5
SEBERTNets:一种面向金融领域的事件主体抽取方法
rwbfd/ml-training-camp
PKUAI26/Deep-Learning-Advanced-Topics
safe-graph/UGFraud
An Unsupervised Graph-based Toolbox for Fraud Detection
ZhuangDingyi/graph-network-paper-list
Summarize interesting graph network papers. Classified by methods and sorted by years.
adlington/HIDAM
majianthu/aps2020
Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics
silbertmonaphia/ml
Semi-Supervised Learning(Machine Learning) Graduation Study